🧑‍🔬 Who cites Samuel Marks

156 citations of their works from 154 papers of our library (of the 149,439 whose bibliographies we read) · 39 with a page here, the most cited first · ← Samuel Marks

1. Explainability for Large Language Models: A SurveyACM Transactions on Intelligent Systems and TechnologyHaiyan Zhao, Hanjie Chen, Fan Yang, et al.2023 · 790 citations
2. Refusal in Language Models Is Mediated by a Single DirectionarXiv:2406.11717Andy Arditi, Oscar Obeso, Aaquib Syed, et al.2024 · 196 citations
3. Do Llamas Work in English? On the Latent Language of Multilingual TransformersAnnual Meeting of the Association for Computational Linguistics (ACL)Chris Wendler, Veniamin Veselovsky, Giovanni Monea, et al.2024 · 177 citations
4. Language Ranker: A Metric for Quantifying LLM Performance Across High and Low-Resource LanguagesProceedings of the AAAI Conference on Artificial IntelligenceZihao Li, Yucheng Shi, Zirui Liu, et al.2024 · 95 citations
5. TruthX: Alleviating Hallucinations by Editing Large Language Models in Truthful SpaceAnnual Meeting of the Association for Computational Linguistics (ACL)Shaolei Zhang, Tian Yu, Yang Feng2024 · 57 citations
6. CausalGym: Benchmarking causal interpretability methods on linguistic tasksAnnual Meeting of the Association for Computational Linguistics (ACL)Aryaman Arora, Dan Jurafsky, Christopher Potts2024 · 38 citations
7. Exploring Concept Depth: How Large Language Models Acquire Knowledge and Concept at Different Layers?International Conference on Computational Linguistics (COLING)Mingyu Jin, Qinkai Yu, Jingyuan Huang, et al.2025 · 36 citations
8. Knowledge Boundary of Large Language Models: A SurveyAnnual Meeting of the Association for Computational Linguistics (ACL)Moxin Li, Yong Zhao, Wenxuan Zhang, et al.2025 · 30 citations
9. Hallucination Detection in LLMs Using Spectral Features of Attention MapsConference on Empirical Methods in Natural Language Processing (EMNLP)Jakub Binkowski, Denis Janiak, Albert Sawczyn, et al.2025 · 18 citations
10. Prompt-Guided Internal States for Hallucination Detection of Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Fujie Zhang, Peiqi Yu, Biao Yi, et al.2025 · 12 citations
11. Too Consistent to Detect: A Study of Self-Consistent Errors in LLMsConference on Empirical Methods in Natural Language Processing (EMNLP)Hexiang Tan, Fei Sun, Sha Liu, et al.2025 · 12 citations
12. Chatting with Bots: AI, Speech Acts, and the Edge of AssertionInquiry (2024)Iwan Williams, Tim Bayne2024 · 12 citations
13. Calibrating Verbal Uncertainty as a Linear Feature to Reduce HallucinationsConference on Empirical Methods in Natural Language Processing (EMNLP)Ziwei Ji, Lei Yu, Yeskendir Koishekenov, et al.2025 · 11 citations
14. Feature Extraction and Steering for Enhanced Chain-of-Thought Reasoning in Language ModelsConference on Empirical Methods in Natural Language Processing (EMNLP)Zihao Li, Xu Wang, Yuzhe Yang, et al.2025 · 11 citations
15. LLaMAs Have Feelings Too: Unveiling Sentiment and Emotion Representations in LLaMA Models Through ProbingAnnual Meeting of the Association for Computational Linguistics (ACL)Dario Di Palma, Alessandro De Bellis, Giovanni Servedio, et al.2025 · 10 citations
16. Paths Not Taken: Understanding and Mending the Multilingual Factual Recall PipelineConference on Empirical Methods in Natural Language Processing (EMNLP)Meng Lu, Ruochen Zhang, Carsten Eickhoff, et al.2025 · 9 citations
17. The Quest for the Right Mediator: Surveying Mechanistic Interpretability for NLP Through the Lens of Causal Mediation AnalysisComputational LinguisticsAaron Mueller, Jannik Brinkmann, Millicent Li, et al.2026 · 7 citations
18. Shifting Perspectives: Steering Vectors for Robust Bias Mitigation in LLMsFindings of the Association for Computational LinguisticsZara Siddique, Irtaza Khalid, Liam Turner, et al.2026 · 6 citations
19. GrAInS: Gradient-based Attribution for Inference-Time Steering of LLMs and VLMsAnnual Meeting of the Association for Computational Linguistics (ACL)Duy Nguyen, Archiki Prasad, Elias Stengel-Eskin, et al.2026 · 4 citations
20. Denoising Concept Vectors with Sparse Autoencoders for Improved Language Model SteeringFindings of the Association for Computational LinguisticsHaiyan Zhao, Xuansheng Wu, Fan Yang, et al.2026 · 3 citations
21. Latent Agents: A Post-Training Procedure for Internalized Multi-Agent DebateAnnual Meeting of the Association for Computational Linguistics (ACL)John Seon Keun Yi, Aaron Mueller, Dokyun Lee2026 · 2 citations
22. Constructing Interpretable Features from Compositional Neuron GroupsAnnual Meeting of the Association for Computational Linguistics (ACL)Or David Shafran, Atticus Geiger, Mor Geva2026 · 1 citation
23. From Weights to Activations: Is Steering the Next Frontier of Adaptation?Annual Meeting of the Association for Computational Linguistics (ACL)Simon Ostermann, Daniil Gurgurov, Tanja Baeumel, et al.2026 · 1 citation
24. In-Distribution Steering: Balancing Control and Coherence in Language Model GenerationLanguage Resources and Evaluation Conference (LREC)Arthur Vogels, Benjamin Wong, Yann Choho, et al.2026 · 1 citation
25. Representation Interventions Enable Lifelong Knowledge Memory Control in LLMsAnnual Meeting of the Association for Computational Linguistics (ACL)Xuyuan Liu, Shengyu Chen, Xinshuai Dong, et al.2026 · 1 citation
26. Rhetorical Questions in LLM Representations: A Linear Probing StudyAnnual Meeting of the Association for Computational Linguistics (ACL)Louie Hong Yao, Vishesh Anand, Yuan Zhuang, et al.2026 · 1 citation
27. RISER: Orchestrating Latent Reasoning Skills for Adaptive Activation SteeringFindings of the Association for Computational LinguisticsWencheng Ye, Xiaoyang Yuan, Yi Bin, et al.2026 · 1 citation
28. Streaming Hallucination Detection in Long Chain-of-Thought ReasoningFindings of the Association for Computational LinguisticsHaolang Lu, Minghui Pan, Ripeng LI, et al.2026 · 1 citation
29. Trajectory Signatures of Deception in Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Viraaji Mothukuri, Reza M. Parizi2026 · 1 citation
30. Vocab Diet: Reshaping the Vocabulary of LLMs via Vector ArithmeticFindings of the Association for Computational LinguisticsYuval Reif, Guy Kaplan, Roy Schwartz2026 · 1 citation
31. Why Steering Works: Toward a Unified View of Language Model Parameter DynamicsAnnual Meeting of the Association for Computational Linguistics (ACL)Ziwen Xu, Chenyan WU, Hengyu Sun, et al.2026 · 1 citation
32. Decoding-Unlearning: Fact Forgetting via Entropy-Guided InferenceAnnual Meeting of the Association for Computational Linguistics (ACL)Jingwen Pu, Mingjun Shi, Xinrui Ren, et al.2026
33. From Isolation to Entanglement: When Do Interpretability Methods Identify and Disentangle Known Concepts?Annual Meeting of the Association for Computational Linguistics (ACL)Aaron Mueller, Andrew Lee, Shruti Joshi, et al.2026
34. LatentRefusal: Latent-Signal Refusal for Unanswerable Text-to-SQL QueriesFindings of the Association for Computational LinguisticsXuancheng Ren, Shijing Hu, Zhihui Lu, et al.2026
35. Learning Uncertainty from Sequential Internal Dispersion in Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Ponhvoan Srey, Xiaobao Wu, Cong-Duy T Nguyen, et al.2026
36. Linear Probes Detect Task Format, Not Reasoning Mode in Language Model Hidden StatesWorkshop on Trustworthy NLPSubramanyam Sahoo, Vinija Jain, Aman Chadha, et al.2026
37. Linear Script Representations in Speech Foundation Models Enable Zero-Shot TransliterationFindings of the Association for Computational LinguisticsRyan Soh-Eun Shim, Kwanghee Choi, Kalvin Chang, et al.2026
38. LLM Beliefs Are in Their HeadsAnnual Meeting of the Association for Computational Linguistics (ACL)Alessandro Corona Mendozza, Anders Søgaard2026
39. The Impact of Off-Policy Training Data on Probe GeneralisationFindings of the Association for Computational LinguisticsAdrians Skapars, Nathalie Maria Kirch, Samuel Dower, et al.2026

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